JP2013206070A - Information processor and information processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processor and an information processing method for specifying the factor of a change in the taste of a user.SOLUTION: The information processor includes: a database 130 for managing behavior history information 133 of a user; and a taste change factor analyzing part 117 for, on the basis the behavior history information 133 in taste change relating to at least one user whose taste has changed from a first taste to a second taste, specifying the behavior of the user in taste change from the first taste to the second taste.

Description

  Some embodiments according to the present invention relate to an information processing apparatus and an information processing method.

  In recent years, for example, mobile terminals having a function of acquiring position information from a GPS (Global Positioning System) have become widespread, and various services have been considered using this function. For example, Patent Literature 1 discloses that, for example, a geographical position system such as GPS provides user position information and proposes user actions based on the information.

Special table 2012-503822 gazette

  By the way, a user's action and preference change as he gets older. For example, a user who likes cars and visits car dealers and auto parts dealers frequently visits supermarkets and toy stores after getting married, and does not go to car-related stores. Such as the case. When such a change in preference occurs, the user often has some chance (marriage in the above example). In this regard, Patent Document 1 discloses that an action is proposed according to the position of the user, but no consideration is given to a trigger (factor) when the user's action or preference changes.

  Some aspects of the present invention have been made in view of the above-described problems, and an object thereof is to provide an information processing apparatus and an information processing method capable of specifying a user's preference change factor.

  The information processing apparatus according to the present invention includes a management unit that manages user behavior history information, and the behavior history information at the time of preference change related to one or more users whose preference has changed from the first preference to the second preference. And a calculating means for specifying an action at the time of changing the preference from the first preference to the second preference.

  In the information processing method according to the present invention, the information processing apparatus manages the user's behavior history information, and the preference change is related to one or more users whose preference has changed from the first preference to the second preference. Based on the action history information, a step of specifying an action at the time of changing the preference from the first preference to the second preference is performed.

  In the present invention, “part”, “means”, “apparatus”, and “system” do not simply mean physical means, but “part”, “means”, “apparatus”, “system”. This includes the case where the functions possessed by "are realized by software. Further, even if the functions of one “unit”, “means”, “apparatus”, and “system” are realized by two or more physical means or devices, two or more “parts” or “means”, The functions of “device” and “system” may be realized by a single physical means or device.

  ADVANTAGE OF THE INVENTION According to this invention, the information processing apparatus and information processing method which can pinpoint a user's preference change factor can be provided.

It is a figure which shows the structure of the communication system containing the information processing server in embodiment of this invention. It is a figure for demonstrating the specific example of user preference information. It is a functional block diagram which shows the structure of the information processing server shown in FIG. 1, and a portable terminal. It is a functional block diagram for demonstrating the software function structure of the information processing server shown in FIG. It is a figure for demonstrating the specific example of facility information. It is a figure for demonstrating the specific example of action log information. 3 is a flowchart for explaining a flow of processing of the information processing server illustrated in FIG. 1.

Embodiments of the present invention will be described below. In the following description and the description of the drawings to be referred to, the same or similar components are denoted by the same or similar reference numerals.
(Embodiment)

  1 to 7 are diagrams for explaining the embodiment. Hereinafter, the present embodiment will be described along the following flow with reference to these drawings. First, “1” indicates an outline of the whole embodiment. Then, “2” describes the system configuration, and “3” describes the processing flow. Finally, the effects and the like according to the present embodiment will be described after “4”.

(1 Overview)
(1.1 System overview)
FIG. 1 is a diagram illustrating a schematic configuration of a communication system 1 including an information processing server 100 that is an information processing apparatus. As illustrated in FIG. 1, the communication system 1 includes an information processing server 100, a mobile terminal 200 (mobile terminals 200 </ b> A to 200 </ b> C are collectively referred to as a mobile terminal 200), and a base station 300. The information processing server 100 and the base station 300 are each connected to the public network N. The public network N may be any type of network as long as the information processing server 100 and the mobile terminal 200 can communicate with each other. For example, the public network N may be a mobile phone network in addition to the Internet.

  Here, the communication system 1 is a system that can identify an action that is a trigger (factor) of a change in preference based on an action history or a change in preference of one or more users who use (hold) the mobile terminal 200. It is.

  The information processing server 100 manages the user's action history information 133 on the database (DB) 130 by receiving position information (latitude / longitude information), for example, at intervals of 5 minutes from the mobile terminal 200 owned by the user. . In addition, since the information processing server 100 manages the facility information 131, the facility P is collated with the action history information 133 to analyze what facility P the user is visiting. Can do. And the genre of the facility P where the user frequently stops (for example, car-related facilities such as car dealers, car parts dealers, race courses, golf equipment dealers, golf driving ranges, golf courses, etc.) Etc.) based on the user's preference (“automobile”, “golf”, etc. in the above example) can also be determined. Such user preferences are managed by the information processing server 100 as user preference information 135 over time.

  The information processing server 100 analyzes the user preference information 135 and the behavior history information 133, and when the preference changes from the preference A to the preference B, refer to the behavior history information 133 for behavior patterns in which many users act. To identify. It can be inferred that this behavior pattern is a factor of a change in the user's preference. And if this user preference change factor can be identified, if a user who is considered to have preference A takes an action that causes the preference change, the user is a highly probable user whose preference will shift to preference B. I can guess that there is. Therefore, if the information processing server 100 itself or its manager or another information processing server provides information such as an advertisement related to the preference B to such a user, an effective reaction can be obtained from the user. It is considered possible. The outline of this estimation is also described in “1.2” with reference to FIG.

  The mobile terminal 200 held by the user transmits position information (latitude / longitude information) related to the position of the own apparatus (that is, the position of the user) to the information processing server 100 at regular intervals. Based on this position information, the information processing server 100 can determine whether or not the user has stopped at the facility P. In the following description, “facility” means not only buildings (buildings) such as buildings, but also stores and offices that move into the building, as well as outdoor facilities such as parks, and any outdoor point ( For example, a concept including “XX square” in a park, “in front of XX statue” used for meeting, a bus stop, and the like).

  The portable terminal 200 is a portable information processing apparatus that can be carried by a user (not shown), and a specific example of the portable terminal 200 is, for example, a cellular phone (regardless of whether it is a so-called smartphone or a feature phone). A notebook computer (Personal Computer), a PDA (Personal Data Assistance), and the like are usually provided, and a display unit and an input unit are provided.

  Further, the mobile terminal 200 receives radio waves superimposed with time and orbit information transmitted from the satellites S1 to S4 (hereinafter, the satellites S1 to S4 are collectively referred to as “satellite S”). It corresponds to GPS (Global Positioning System) that can generate position information about latitude and longitude corresponding to the current position of the device itself. The mobile terminal 200 acquires position information intermittently at intervals of 5 minutes, for example, and transmits the position information to the information processing server 100.

  In this embodiment, the case where attention is paid to the movement of the user based on the position information as the user action history information 133 will be described as an example, but the present invention is not limited to this. For example, information such as a search history of a website and a purchase history of a product is acquired from the mobile terminal 200, a search server (not shown), a product sales server, a payment information management server such as a credit card, etc. It is also possible to set it to 133 (it can also be used as action history information 133 in combination). Even when such a search history or product purchase history is used, information associated with a specific location (for example, when searching for a restaurant “OO” or purchasing a “Travel Guide to Kyoto”) Etc.), it is possible to ensure consistency when used in combination, and it is easy to identify a change factor of the user's preference because the specificity as the user's specific action increases.

  Moreover, although this embodiment demonstrates as an example the case where the user preference information 135 is produced | generated based on a user's action history information 133, it is not restricted to this. For example, the user preference information 135 may be read from a storage medium or received from another device as information generated separately from the action history information 133.

(1.2 Method for identifying factors related to user preference changes)
As described above, the information processing server 100 manages, in the user preference information 135, changes in preferences over time of each user who owns the mobile terminal 200 based on the behavior history information 133 of the user who owns the mobile terminal 200. Yes. Furthermore, the information processing server 100 statistically specifies the behavior that triggers the change in the preference based on the change in the preference over time in the user preference information 135 and the behavior history information 133 of the user at the preference change time. It has a function. Hereinafter, an overview of processing when the information processing server 100 specifies an action that triggers a change in preference will be described with reference to FIG.

  FIG. 2 is a diagram illustrating a change in the degree of interest of the user with respect to time, according to the preference A and preference B of the user. In the example of FIG. 2, the user was initially most interested in the preference A, but the interest in the preference A has faded over time. On the other hand, the preference B was initially not interested at all, but the interest in the preference A decreased, and at the same time, the user's interest increased.

  Here, the degree of interest in the user's preference A and preference B can be calculated according to, for example, the number of times the user visits the facility P related to the preference A during a certain period, the staying time, and the like. It is managed as user preference information 135. In addition, when the user's preference is estimated using information such as a website search history and product purchase history, the number of searches for information related to the facility P, the number of purchases of products related to the facility P, etc. Accordingly, it may be possible to calculate the degree of interest of the user.

  When the information processing server 100 examines a change factor that changes the user's preference from the preference A to the preference B, the information processing server 100 determines a period in which the interest in the preference A starts to decrease and the interest in the preference B begins to increase. Above (the period indicated by the arrow in FIG. 2), the action taken by the user during the period is examined with reference to the action history information 133.

  By performing such a survey on one or more users whose interest has shifted from preference A to preference B, the information processing server 100 can calculate the factors that cause preference changes from preference A to preference B. Can be identified.

  In addition, although this embodiment demonstrates to the example the analysis with respect to the change of preference (change from the preference A to the preference B) between two preferences, it is not restricted to this. For example, when the preference changes from preference A to preference B and then the preference changes from preference B to preference C (that is, preference A → preference B → preference C), three or more preference changes occur. You may make it investigate the change factor with respect to a user.

(2 System overview)
(2.1 Device configuration)
Hereinafter, the apparatus configuration of the communication system 1 according to the present embodiment will be described with reference to FIG. FIG. 3 is a block diagram showing a device configuration of the communication system 1 according to the present embodiment. As described above, the communication system 1 includes the information processing server 100 and the mobile terminal 200. Hereinafter, these configurations will be described.

  First, the information processing server 100 will be described. As described above, the information processing server 100 manages changes in preferences of each user who owns the mobile terminal 200 in the user preference information 135 based on the action history information 133 of the user who owns the mobile terminal 200. . Furthermore, the information processing server 100 statistically specifies the behavior that triggers the change in the preference based on the change in the preference over time in the user preference information 135 and the behavior history information 133 of the user at the preference change time. It has a function. In order to implement such a function, the information processing server 100 includes a control unit 110, a communication unit 120, and a DB 130. The function of the information processing server 100 can be implemented as a single information processing apparatus, or can be implemented as an information processing system in which two or more information processing apparatuses (including two servers) are combined. .

  The control unit 110 includes a CPU (Central Processing Unit) 111 and a memory 113 which are arithmetic devices. The control unit 110 stores a program (software) in the memory 113 and executes various programs on the information processing server 100 by executing the program on the CPU 111. For example, the user's preference such as whether or not the user visits the facility P of which genre or property is visited and its change over time are analyzed, and the behavior that triggers the behavior history information 133 and the user The control unit 110 controls processing such as statistical identification using the preference information 135. The function processing in the control unit 110 will be described later with reference to FIG.

  The communication unit 120 is a communication interface for communicating with various information processing apparatuses such as the mobile terminal 200 via the public network N. The communication unit 120 receives position information from the mobile terminal 200, for example.

  The DB 130 manages facility information 131, action history information 133, and user preference information 135. The facility information 131 includes information such as position information (a region may be indicated) for each facility P, the genre of the facility P (what kind of preference the visited user has). A specific example of the facility information 131 will be described in “2.3” with reference to FIG.

  The action history information 133 manages an action history for each user (for each portable terminal 200 held by the user). In this embodiment, the action history information 133 manages the history of position information periodically transmitted from the mobile terminal 200. A specific example of the action history information 133 will be described in “2.4” with reference to FIG. 6.

  The user preference information 135 manages each user's preference transition over time. The user preference information 135 according to the present embodiment is the degree of interest of the user for each of various preferences (“preference A” and “preference B” in the example of FIG. 2) as described with reference to FIG. The time transition related to is managed.

  Next, the configuration of the mobile terminal 200 will be described. As illustrated in FIG. 3, the mobile terminal 200 includes a main control unit 210, a wireless communication unit 220, an input unit 230, a display unit 240, and a sensor 250.

  The main control unit 210 controls various processes in the mobile terminal 200 and includes a CPU 211 and a memory 213 (including a volatile memory and a nonvolatile memory). In the main control unit 210, various functions in the mobile terminal 200 can be realized by storing programs such as various applications in the storage area of the memory 213, and executing programs such as the applications by the CPU 211. More specifically, the main control unit 210 controls processing such as transmission of position information that can be acquired by the GPS receiver 253.

  The wireless communication unit 220 can transmit and receive (communicate) data with other information processing apparatuses via the public network N. More specifically, for example, the wireless communication unit 220 transmits the current position information to the information processing server 100.

The input unit 230 is a module that accepts various inputs from the user to the mobile terminal 200, and includes an input key, a touch panel, and the like. In addition, the input unit 230 may have a function of receiving voice from a user and outputting the input information to the main control unit 210 as input information.
The display unit 240 is, for example, a display device for displaying various information and presenting it to the user.

  The sensor 250 outputs a detection signal or the like that changes according to the movement state of the user of the mobile terminal 200, and includes, for example, an acceleration sensor 251 and a GPS receiver 253. Specifically, the detection signal output from the sensor 250 includes acceleration information indicating the acceleration output from the acceleration sensor 251 and position information (latitude) indicating the current position of the mobile terminal 200 output from the GPS receiver 253. Longitude information) and the like. The position information may include information related to altitude.

(2.2 Software functions)
Next, the functional configuration of the software of the information processing server 100 will be described with reference to FIG. FIG. 4 is a functional block diagram schematically showing a configuration of software that operates on the control unit 110 of the information processing server 100. The software that operates in the control unit 110 includes a data input unit 114, a position information reception unit 115, a user preference analysis unit 116, a preference change factor analysis unit 117, and a data output unit 119.

  The data input unit 114 is an input module for receiving input of information such as facility information 131, for example. Here, various methods of inputting data to the data input unit 114 can be considered. For example, data can be read from various storage media such as a DVD (Digital Versatile Disk) or a USB (Universal Serial Bus) memory, or the operator can use a keyboard. It is conceivable to input from various input devices (not shown) such as a mouse or mouse and to receive input from another information processing device via the communication unit 120.

  The position information receiving unit 115 receives position information transmitted from the mobile terminal 200 owned by the user, and manages the information as action history information 133 of the DB 130. In the present embodiment, the position information receiving unit 115 receives position information from each portable terminal 200 and determines whether or not the user has visited the facility P based on the position information. However, the present invention is not limited to this. It is not a thing. For example, it is conceivable that an information processing apparatus that manages another position information manages a position information history (probe information) and the data input unit 114 receives the position information history.

  The user preference analysis unit 116 analyzes user preferences over time based on the behavior history information 133. For example, if the user visits golf-related facilities many times a week, the degree of interest in the preference “golf” is increased, and children-related facilities such as toy stores and nurseries are frequently visited. If so, the degree of interest in the preference “children” is considered high. As described above, the user preference analysis unit 116 generates user preference information 135 by analyzing user preferences from the user behavior history.

  When the user's preference changes, the preference change factor analysis unit 117 statistically analyzes behaviors that appear in many users at the time of the change. As described in “1.2” with reference to FIG. 2, after extracting the behavior history information 133 of each user whose preference has changed from preference A to preference B, many of these users have taken in common. If there is an action (for example, a visit to a wedding hall or a move), the preference change factor analysis unit 117 identifies the action as a preference change factor from preference A to preference B.

  The prediction unit 118 refers to the behavior history information 133 and the user preference information 135 to predict a user who is highly likely to change the preference from the preference A to the preference B. As the method, among the users having the current preference A in the user preference information 135, the behavior that becomes the preference change factor from the preference A to the preference B obtained as a result of the analysis by the preference change factor analysis unit 117 is taken. It is conceivable to specify a user whose preference changes to preference B by specifying the user.

  The data output unit 119 can output various information related to the analysis result of the preference change. For example, it is possible to output information on behavior that becomes a preference change factor from preference A to preference B, and the result of calculation (prediction) in the prediction unit 118 is likely to change in the near future. The user may be output. Or you may make it output information, such as an advertisement concerning preference B, towards those users.

  As a data output method by the data output unit 119, for example, writing to various storage media such as a DVD or a USB memory, or transmitting to another information processing apparatus via the communication unit 120 can be considered. In particular, when outputting information on users who are likely to change their preferences in the near future, for example, by providing the information of these users to other information processing apparatuses using API (Application Programming Interface), Other information processing apparatuses can perform various direct mails and advertisement distribution to the user.

(2.3 Facility information)
Hereinafter, a specific example of the facility information 131 in the present embodiment will be described.
FIG. 5 is a diagram illustrating a specific example of the facility information 131 managed by the DB 130. In the example of FIG. 5, the facility information 131 includes a facility ID uniquely assigned to each facility P, a name, an address, and facility coordinates (latitude and longitude. Information indicating the region of the facility P). Etc.) and information (genre) indicating what kind of preference the facility shows.
As described above, the user preference analysis unit 116 analyzes the user's preference according to the genre of the facility P visited by many users.

(2.4 Action history information)
Hereinafter, a specific example of the action history information 133 in the present embodiment will be described.
As shown in FIG. 5, based on the position information transmitted by the mobile terminal 200, the action history information 133 stored in the DB 130 by the position information receiving unit 115 includes a terminal ID, coordinate information (latitude / longitude information), and positioning time. Contains information. Only the information of the terminal ID of the specific portable terminal 200 is extracted from the action history information 133, and the coordinate information is collated with the facility coordinates of each facility P included in the facility information 131. 100 can know what kind of facility P the user with the mobile terminal 200 is visiting.
As described above, it is also conceivable that information such as a website search history and a product purchase history is used as a substitute or a combination for the action history information 133.

(3 Process flow)
Hereinafter, with reference to FIG. 7, a flow of processing related to specification of preference change factors by the information processing server 100 will be described. Here, a case where a preference change factor from preference A to preference B is analyzed will be described as an example. However, when analysis of other preference changes is necessary, the process of FIG. 7 may be repeated.

  Each processing step to be described later can be executed in any order or in parallel as long as there is no contradiction in processing contents, and other steps can be added between the processing steps. good. Further, a step described as a single step for convenience can be executed by being divided into a plurality of steps, and a step described as being divided into a plurality of steps for convenience can be executed as one step.

  First, the preference change factor analysis unit 117 identifies all users whose preferences have changed from preference A to preference B and respective preference change times based on the user preference information 135 (S701). Then, the preference change factor analysis unit 117 identifies the behavior of each user after extracting the behavior history information 133 related to the preference change time of all the target users (S703).

  In addition, the preference change factor analysis unit 117 statistically analyzes the user's behavior related to the preference change time, and identifies the behavior pattern that many users have in the preference change time as the preference change factor (S705). The specified preference change factor may be output as it is by the data output unit 119 as described above, or a user who is likely to change the preference in the near future may be used for specification (prediction). When identifying users who are likely to change their preferences, some information may be given to those users, or information about those users may be output.

(4 Effects of this embodiment)
As described above, the information processing server 100 according to the present embodiment can identify a preference change factor by statistically analyzing a behavior when a user's preference changes. Moreover, since it is possible to predict a user with a high probability of a change in preference by specifying the change factor of the preference, it is possible to provide suitable information to the user according to the prediction.

(5 Additional notes)
Note that the configurations of the above-described embodiments may be combined or some of the components may be replaced. The configuration of the present invention is not limited to the above-described embodiment, and various modifications may be made without departing from the scope of the present invention.

  DESCRIPTION OF SYMBOLS 1 ... Communication system, 100 ... Information processing server, 110 ... Control part, 111 ... CPU, 113 ... Memory, 114 ... Data input part, 115 ... Position information receiving part 116 ... User preference analysis unit, 117 ... Preference change factor analysis unit, 118 ... Prediction unit, 119 ... Data output unit, 120 ... Communication unit, 130 ... Database, 131 .. Facility information, 133... Behavior history information, 135... User preference information, 200... Portable terminal, 210. ..Wireless communication unit, 230 ... input unit, 240 ... display unit, 250 ... sensor, 251 ... acceleration sensor, 253 ... GPS receiver, P ... facility, N ...・ Public network, S1 to S4 ... Satellite

Claims (4)

A management means for managing user behavior history information;
Based on the behavior history information at the time of preference change relating to one or more users whose preference has changed from the first preference to the second preference, the behavior at the time of the preference change from the first preference to the second preference. An information processing apparatus comprising a computing means for specifying. The prediction means which further predicts the said user as a user with the high probability of the change to a 2nd preference, when the action which the said calculating means specified appears in the user with a 1st preference. Information processing device. The information processing apparatus according to claim 1, further comprising an estimation unit that estimates a user's preference over time based on the behavior history information. Information processing device
Managing user action history information;
Based on the behavior history information at the time of preference change relating to one or more users whose preference has changed from the first preference to the second preference, the behavior at the time of the preference change from the first preference to the second preference. An information processing method for performing the identifying step.